Analysing computer science courses over time

HIGHLIGHTS

  • who: Renza Campagni and colleagues from the or recourse allocationTo the first category belongs, for example, the paper [25], where association rule mining is used to provide feedback to instructors from the multiple-choice quiz data. Studies concerning planning and scheduling can be found, for example, in [26], which enhances course planning by establishing the probability of enrollees completing their courses based on the student's preferences and profession, in [27], which discovers explicit knowledge that can be useful for decision-making processes as well as proposing analytical guidelines for higher education institutions, and in [28], which . . .

     

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